A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
PC Austin, P Grootendorst… - Statistics in medicine, 2007 - Wiley Online Library
The propensity score—the probability of exposure to a specific treatment conditional on
observed variables—is increasingly being used in observational studies. Creating strata in …
observed variables—is increasingly being used in observational studies. Creating strata in …
The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments
PC Austin - Statistics in medicine, 2014 - Wiley Online Library
Propensity score methods are increasingly being used to estimate causal treatment effects
in observational studies. In medical and epidemiological studies, outcomes are frequently …
in observational studies. In medical and epidemiological studies, outcomes are frequently …
An introduction to propensity score methods for reducing the effects of confounding in observational studies
PC Austin - Multivariate behavioral research, 2011 - Taylor & Francis
The propensity score is the probability of treatment assignment conditional on observed
baseline characteristics. The propensity score allows one to design and analyze an …
baseline characteristics. The propensity score allows one to design and analyze an …
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
PC Austin - Statistics in medicine, 2009 - Wiley Online Library
The propensity score is a subject's probability of treatment, conditional on observed baseline
covariates. Conditional on the true propensity score, treated and untreated subjects have …
covariates. Conditional on the true propensity score, treated and untreated subjects have …
Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research
PC Austin - Communications in statistics-simulation and …, 2009 - Taylor & Francis
Researchers are increasingly using the standardized difference to compare the distribution
of baseline covariates between treatment groups in observational studies. Standardized …
of baseline covariates between treatment groups in observational studies. Standardized …
[HTML][HTML] Outcome of heart failure with preserved ejection fraction in a population-based study
Background The importance of heart failure with preserved ejection fraction is increasingly
recognized. We conducted a study to evaluate the epidemiologic features and outcomes of …
recognized. We conducted a study to evaluate the epidemiologic features and outcomes of …
[HTML][HTML] The number of subjects per variable required in linear regression analyses
PC Austin, EW Steyerberg - Journal of clinical epidemiology, 2015 - Elsevier
Objectives To determine the number of independent variables that can be included in a linear
regression model. Study Design and Setting We used a series of Monte Carlo simulations …
regression model. Study Design and Setting We used a series of Monte Carlo simulations …
Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies
PC Austin - Pharmaceutical statistics, 2011 - Wiley Online Library
In a study comparing the effects of two treatments, the propensity score is the probability of
assignment to one treatment conditional on a subject's measured baseline covariates. …
assignment to one treatment conditional on a subject's measured baseline covariates. …
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in …
The propensity score is defined as a subject's probability of treatment selection, conditional
on observed baseline covariates. Weighting subjects by the inverse probability of treatment …
on observed baseline covariates. Weighting subjects by the inverse probability of treatment …
A comparison of 12 algorithms for matching on the propensity score
PC Austin - Statistics in medicine, 2014 - Wiley Online Library
Propensity‐score matching is increasingly being used to reduce the confounding that can
occur in observational studies examining the effects of treatments or interventions on outcomes…
occur in observational studies examining the effects of treatments or interventions on outcomes…
